Electromyography (EMG) has already been broadly used in human-machine interaction
(HMI) applications. Determining how to decode the information inside EMG signals robustly …

There have recently been some significant research activities on sensors or electrodes for
human–machine-interface (HMI) systems, mainly focusing on single-modality sensing …

Objective. In this paper, a novel methodology for feature extraction to enhance classification
accuracy of functional near-infrared spectroscopy (fNIRS)-based two-class and three-class …

Gestures of the human hand can be identified through processing of surface
electromyography (sEMG) signals. The human hand can perform many gestures via …

Functional near‐infrared spectroscopy (fNIRS) is one of the latest noninvasive brain function
measuring technique that has been used for the purpose of brain‐computer interfacing …

Aiming at the existing problems of BCI (brain computer interface), such as single input signal
source, low accuracy of feature recognition, and less output control instructions, this paper …

Recently, programing by demonstration (PbD) received much attention for its capacity of fast
programming with increasing demands in the robot manipulation area, especially in …

Industrial exoskeletons is a field of ongoing research for improving human safety and
conveniences. However, the adoption of industrial exoskeleton robots still remains …

According to statistics, 18.93% suffer from physical disabilities out of 3.28663 million
disabled people in Pakistan. Also, studies around the globe indicate that most of the world's …

Background: The purpose of this project is to identify prognostic features in resectable
pancreatic head adenocarcinoma and use these features to develop a machine learning …